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Ted Carlson

dblp:81/5013 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Legged, aerial and field robots · 67% Autonomous driving · 33%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › underwater robotics
autonomous underwater vehicle
0.012004
Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004
Robotics › Autonomous driving
multi-vehicle coordination
0.012004
Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004
Robotics › Legged, aerial and field robots
underwater robotics
0.012004
Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004
Internet of things and sensor networks › underwater sensor networks
underwater communication
0.012004
Multiple Communicating Autonomous Underwater Vehicles · ICRA 2004

Methods — techniques the papers use, named apart from their topics

modeling and simulation · 0.1
YearPublicationVenuePosition
2004 Multiple Communicating Autonomous Underwater Vehicles
abstract
This paper addresses the problems associated with missions using multiple cooperating autonomous underwater vehicles. In such missions, inter-vehicle communication is an important requirement upon which coordination strategy and intelligence decision making functions can be built. This paper presents briefly our current modeling and simulation work on characterizing the vehicle communication performance, together with some of the preliminary results. Even with much simplification of scenario modeling, simulation results exhibit intricate communication characteristics, and they can vary significantly as a function of mission requirements and scenarios.
Edgar An, Pierre-Philippe J. Beaujean, Bertrand Baud, Ted Carlson, Andres Folleco, Tzyh Jong Tarn
ICRA4